Multi-output classifier¶
Some of the docstrings for this module have been automatically extracted from the scikit-learn library and are covered by their respective licenses.
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class
node_ensemble.
MultiOutputClassifier
[source]¶ Fits one classifier for each target of outputs. Useful for extending classifiers that do not natively support multiple outputs
Configuration: n_jobs
The number of jobs to use for the computation. If -1 all CPUs are used. If 1 is given, no parallel computing code is used at all, which is useful for debugging. For n_jobs below -1, (n_cpus + 1 + n_jobs) are used. Thus for n_jobs = -2, all CPUs but one are used. The number of jobs to use for the computation. It does each target variable in y in parallel.
Attributes: Inputs: - model : model
model
Outputs: - out-model : model
Output model